Model Comparison

MiniMax M2.7 vs Hy3Which is better in 2026?

Hy3 shows notably better performance in the majority of benchmarks.

Verdict: MiniMax M2.7 vs Hy3 — which is better?

MiniMax M2.7 (by MiniMax) and Hy3 (by Tencent) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

MiniMax M2.7 outperforms in 1 benchmarks (SWE-bench Multilingual), while Hy3 is better at 3 benchmarks (NL2Repo, SWE-Bench Pro, Toolathlon). Hy3 shows notably better performance in the majority of benchmarks.

Choose MiniMax M2.7 if…

  • you want predictable pricing at $0.30/M input and $1.20/M output

Choose Hy3 if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

MiniMax M2.7 outperforms in 1 benchmarks (SWE-bench Multilingual), while Hy3 is better at 3 benchmarks (NL2Repo, SWE-Bench Pro, Toolathlon).

Hy3 shows notably better performance in the majority of benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only MiniMax M2.7 specifies input context (196,608 tokens). Only MiniMax M2.7 specifies output context (196,608 tokens).

MiniMax
MiniMax M2.7
Input196,608 tokens
Output196,608 tokens
Tencent
Hy3
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2.7 is licensed under MIT, while Hy3 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

MiniMax M2.7

MIT

Open weights

Hy3

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2.7 was released on 2026-03-18, while Hy3 was released on 2026-07-06.

Hy3 is 4 months newer than MiniMax M2.7.

MiniMax M2.7

Mar 18, 2026

4 months ago

Hy3

Jul 6, 2026

1 weeks ago

3mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

MiniMax
Larger context window (196,608 tokens)
Higher SWE-bench Multilingual score (76.5% vs 75.8%)
Tencent
Higher NL2Repo score (45.6% vs 39.8%)
Higher SWE-Bench Pro score (57.9% vs 56.2%)
Higher Toolathlon score (48.5% vs 46.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiniMax M2.7 and Hy3 side-by-side, then vote on the output you prefer.

MiniMax M2.7
✓ Preferred
Hy3
Open in Playground
AI Model Comparison Table
Feature
MiniMax
MiniMax M2.7
Tencent
Hy3

FAQ

Common questions about MiniMax M2.7 vs Hy3.

Which is better, MiniMax M2.7 or Hy3?

Hy3 shows notably better performance in the majority of benchmarks. MiniMax M2.7 is made by MiniMax and Hy3 is made by Tencent. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MiniMax M2.7 compare to Hy3 in benchmarks?

MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%. Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%.

What are the context window sizes for MiniMax M2.7 and Hy3?

MiniMax M2.7 supports 197K tokens and Hy3 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M2.7 and Hy3?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M2.7 and Hy3?

MiniMax M2.7 is developed by MiniMax and Hy3 is developed by Tencent.

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